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Preventable Hospitalization Costs: A County-Level Mapping Tool

Preventable Hospitalization Costs: A County-Level Mapping Tool . State Healthcare Quality Improvement Workshop: Tools You Can Use to Make a Difference January 17-18, 2008 Melanie Chansky, MAA Battelle Centers for Public Health Research and Evaluation. AHRQ Quality Indicators (QIs).

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Preventable Hospitalization Costs: A County-Level Mapping Tool

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  1. Preventable Hospitalization Costs: A County-Level Mapping Tool State Healthcare Quality Improvement Workshop: Tools You Can Use to Make a Difference January 17-18, 2008 Melanie Chansky, MAA Battelle Centers for Public Health Research and Evaluation

  2. AHRQ Quality Indicators (QIs) • Use existing hospital discharge data, based on readily available data elements • Incorporate severity adjustment methods (APR-DRGs, comorbidity groupings and hierarchical modeling) • Five modules: Inpatient, Patient Safety, Prevention, Pediatric, and Neonatal

  3. Preventable Hospitalization Costs: A County-Level Mapping Tool The PHC tool is a new QI software application designed to help organizations to: • better understand geographical patterns of potentially preventable hospital admission rates for selected health problems. • allocate resources more effectively by calculating potential cost savings if admission rates are reduced.

  4. Main Functions of the PHC Tool • Creation of maps that show the rates of hospital admission for selected health problems on a county-by-county basis. • Calculation of potential cost savings that may occur if the number of hospital admissions for selected health problems in each county is reduced. • Ability to place additional information about local populations onto maps to indicate the number of persons who are at greatest risk for those health problems in each county.

  5. It processes all Prevention QIs... There is no longer a PQI 4 and PQI 6.

  6. and all area-level Pediatric QIs

  7. Applying the QIs • To calculate area rates it was necessary to have access to the state and county data. • The software produces observed and risk-adjusted rates for all PQIs and PDIs. • Output converted to rates • Rates expressed either per 100 population and per 10,000 population

  8. Map Interpretation - Example Name of Indicator and Data Year in Map Title Data quintiles. Green is the lowest 20% or the lowest rates. Red is the highest 20% or the highest rates. Counties with high indicator rates and higher number of beneficiaries Symbol indicating number of covered beneficiaries, number below is average in the group.

  9. County RA rate is significantly lower than state rate County RA rate is significantly higher than state rate Data Interpretation

  10. Cost Data Interpretation Potential cost savings if number of admissions were reduced by specified percentage QI Name County name (all counties listed), average cost of admission for QI specified, total number of cases, and total cost

  11. Where to Download Download the PHC mapping tool (SAS and Windows versions) and all technical documentation at: http://www.qualityindicators.ahrq.gov/mappingtool.htm

  12. Technical Support If you have technical questions of any kind while using the PHC tool, contact the QI team at: Support@qualityindicators.ahrq.gov or 1-888-512-6090

  13. Questions?

  14. Contact Information Melanie Chanskychanskym@battelle.org703-248-1659

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